Multi-Language Analysis
Track brand visibility across language markets with localized recommendations and content guidelines.
Overview
Multi-Language Analysis detects which languages appear in your AI snapshots and reveals how your brand visibility varies across language markets. It provides priority-ranked recommendations and localized content guidelines for each detected language.
As AI models serve global audiences, your brand may appear differently in English, Spanish, Japanese, and other languages. This feature helps you identify gaps and opportunities.
How Language Detection Works
The system uses a two-tier detection approach:
- Non-Latin scripts — Unicode character ranges detect CJK (Japanese, Korean, Chinese), Arabic, Hindi (Devanagari), and Russian (Cyrillic) with high accuracy.
- Latin-script languages — Common word frequency patterns distinguish Spanish, French, German, Portuguese, Italian, Dutch, Turkish, Polish, and Swedish from English.
Supported Languages (16)
| Language | Code | Detection Method |
|---|---|---|
| English | en | Default (Latin) |
| Spanish | es | Word frequency |
| French | fr | Word frequency |
| German | de | Word frequency |
| Portuguese | pt | Word frequency |
| Italian | it | Word frequency |
| Dutch | nl | Word frequency |
| Japanese | ja | Unicode (Hiragana/Katakana/Kanji) |
| Korean | ko | Unicode (Hangul) |
| Chinese | zh | Unicode (CJK Unified) |
| Arabic | ar | Unicode (Arabic block) |
| Hindi | hi | Unicode (Devanagari) |
| Russian | ru | Unicode (Cyrillic) |
| Turkish | tr | Word frequency |
| Polish | pl | Word frequency |
| Swedish | sv | Word frequency |
What You Get
Language Breakdown
A table and chart showing per-language metrics:
- Snapshot count — How many snapshots were detected in each language.
- Brand mention rate — Percentage of snapshots mentioning your brand.
- Average sentiment — Positive, neutral, or negative across that language.
- Competitor mention rate — How often competitors appear in that language.
Mention Rate Chart
A horizontal bar chart comparing brand mention rates across all detected languages. Color-coded:
- Green (≥60%) — Strong visibility
- Yellow (30–59%) — Moderate visibility
- Red (<30%) — Low visibility
Language-Specific Recommendations
Priority-ranked recommendations for each language, sorted by urgency:
- High priority — Languages where your brand has low mention rates or is losing to competitors.
- Medium priority — Languages with moderate presence but room for improvement.
- Low priority — Languages where visibility is already strong.
Each recommendation includes:
- Action items — Specific steps to improve visibility.
- Content guidelines — FAQ structure, schema markup notes, and content tips tailored to that language.
Getting Started
- Create multilingual prompts — Add prompts in your target languages, or configure Location settings with different language codes.
- Capture snapshots — The system automatically detects languages from response content.
- Visit Multi-Language Analysis — Navigate to the page from the sidebar.
- Follow recommendations — Start with high-priority languages.
Content Guidelines by Language
The system provides language-specific advice for the 6 most common content markets:
- English — Focus on clarity, conciseness, and FAQ schema.
- Spanish — Consider regional variants (es-MX vs es-AR); FAQ with "Preguntas frecuentes".
- French — Distinguish fr-FR and fr-CA; use hreflang tags; formal tone default.
- German — Handle compound words; "Sie" formality; capitalize nouns in schema.
- Japanese — Consistent kanji/hiragana usage; FAQ as "よくある質問"; katakana for foreign terms.
- Chinese — Simplified vs Traditional distinction; pinyin/phonetic guides; platform-specific considerations.
Plan Requirements
Multi-Language Analysis requires the Advanced AI Insights feature, available on Starter plans and above.